If you're building in fintech, investing, trading, or financial services, the quality and variety of your financial data can make or break your success.
That’s why Intrinio offers a wide range of financial data APIs — designed to be affordable, scalable, and easy to integrate for businesses of all sizes.
Here’s a look at the core types of financial data you can access through Intrinio, and how they can power your applications, analytics, and platforms.
Intrinio’s US Fundamentals data feed offers over 15 years of standardized and as-reported financial statement data for publicly traded US companies.
But fundamentals through Intrinio go far beyond just the balance sheet.
Key offerings include:
The addition of press releases and curated news enables platforms to not only display financial metrics but also contextualize them with real-time information, creating a more complete user experience for investors, analysts, and institutions.
Use cases:
Investor research platforms, financial modeling apps, earnings trackers, corporate analysis tools, wealth management systems.
Intrinio offers multiple stock price datasets, providing flexibility across real-time, delayed, tick-level, and historical needs:
Use cases:
Trading platforms, real-time dashboards, stock screeners, algorithmic trading research, portfolio management tools.
Intrinio’s options data suite offers full access to the real-time, delayed, and historical options market for US listed securities.
Key products include:
With millions of active options contracts on the market at any given time, Intrinio’s options APIs provide the scale, speed, and reliability needed for serious traders and platforms.
Use cases:
Options trading apps, brokerage platforms, risk modeling software, educational investing platforms.
Intrinio’s estimates data helps businesses tap into forward-looking market sentiment and consensus expectations.
Included in the Estimates feed:
Combining historical actuals with forward estimates creates an invaluable dataset for building predictive models, recommendation engines, and sophisticated investment tools.
Use cases:
Earnings prediction models, analyst comparison dashboards, quant investing platforms, investment research tools.
Intrinio’s ETF datasets provide rich insights into the holdings, structure, and performance of Exchange Traded Funds.
Core ETF products include:
Given the explosion in passive investing, ETF intelligence is a must-have for fintechs offering asset allocation tools or advisors building diversified client portfolios.
Use cases:
ETF screeners, robo-advisors, model portfolio builders, retirement planning apps.
In addition to core equities and options datasets, Intrinio offers a growing library of specialty datasets for broader market coverage:
These additional datasets help Intrinio customers build broader, deeper applications and future-proof their data strategies.
Use cases:
Event-driven trading platforms, ESG-focused investing apps, mutual fund screeners, market commentary platforms.
Intrinio’s APIs are designed to be simple, flexible, and reliable — empowering developers to focus on innovation instead of fighting clunky integrations.
Developer-first features include:
Whether you're a solo developer or an enterprise engineering team, Intrinio makes integrating financial data painless.
Intrinio is built to support companies across every stage of growth:
And with free two-week trials, you can start validating your project with real data today — no long sales cycle required.
Intrinio’s affordability, flexibility, and enterprise-ready quality make it a perfect fit for startups, scaling fintechs, and established institutions alike.